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# BSD 3-Clause License; see https://github.com/scikit-hep/awkward/blob/main/LICENSE
from __future__ import annotations
import numpy as np
import pytest
import awkward as ak
def test_reducers():
array = ak.Array([[{"rho": -1.1, "phi": -0.1}, {"rho": 1.1, "phi": 0.1}]])
with pytest.raises(TypeError):
assert ak.to_list(ak.operations.all(array, axis=1)) == [
{"phi": True, "rho": True}
]
with pytest.raises(TypeError):
assert ak.to_list(ak.operations.any(array, axis=1)) == [
{"phi": True, "rho": True}
]
with pytest.raises(TypeError):
assert ak.to_list(ak.operations.argmax(array, axis=1)) == [
{"phi": True, "rho": True}
]
with pytest.raises(TypeError):
assert ak.to_list(ak.operations.argmin(array, axis=1)) == [{"phi": 0, "rho": 0}]
with pytest.raises(TypeError):
assert ak.to_list(ak.operations.count_nonzero(array, axis=1)) == [
{"phi": 2, "rho": 2}
]
with pytest.raises(TypeError):
assert ak.to_list(ak.operations.count(array, axis=1)) == [{"phi": 2, "rho": 2}]
with pytest.raises(TypeError):
assert ak.to_list(ak.operations.max(array, axis=1)) == [
{"phi": 0.1, "rho": 1.1}
]
with pytest.raises(TypeError):
assert ak.to_list(ak.operations.min(array, axis=1)) == [
{"phi": -0.1, "rho": -1.1}
]
with pytest.raises(TypeError):
assert ak.to_list(ak.operations.prod(array, axis=1)) == [
{"phi": -0.010000000000000002, "rho": -1.2100000000000002}
]
with pytest.raises(TypeError):
assert ak.to_list(ak.operations.sum(array, axis=1)) == [
{"phi": 0.0, "rho": 0.0}
]
def test_overloaded_reducers():
def overload_add(array, mask):
return ak.contents.RecordArray(
[
ak.sum(array["rho"], axis=-1, mask_identity=False, highlevel=False),
ak.sum(array["phi"], axis=-1, mask_identity=False, highlevel=False),
],
["rho", "phi"],
)
behavior = {}
behavior[ak.sum, "VectorArray2D"] = overload_add
array = ak.Array(
[[{"rho": -1.1, "phi": -0.1}, {"rho": 1.1, "phi": 0.1}]],
with_name="VectorArray2D",
behavior=behavior,
)
assert ak.to_list(ak.sum(array, axis=1)) == [{"rho": 0, "phi": 0}]
with pytest.raises(
TypeError, match=r"overloads for custom types: VectorArray2D, int"
):
ak.to_list(array + 1)
def overload_add2(array, mask):
return ak.contents.RecordArray(
[ak.contents.NumpyArray(np.asarray([2.4, 3, 4.5, 6], dtype=np.float64))],
["rho"],
)
behavior = {}
behavior[ak.sum, "VectorArray2D"] = overload_add2
array = ak.Array(
[[{"rho": -1.1, "phi": -0.1}, {"rho": 1.1, "phi": 0.1}]],
with_name="VectorArray2D",
behavior=behavior,
)
assert ak.to_list(ak.sum(array, axis=1)) == [{"rho": 2.4}]
array = ak.highlevel.Array(
ak.contents.ByteMaskedArray(
ak.index.Index8(np.array([True, True])),
ak.contents.RecordArray(
[
ak.contents.NumpyArray(np.arange(2)),
ak.contents.IndexedOptionArray(
ak.index.Index64(np.array([0, -1])),
ak.contents.NumpyArray(np.array([1], dtype=np.int64)),
),
],
["a", "b"],
),
valid_when=True,
)
)
with pytest.raises(TypeError, match=r"overloads for custom types: a, b"):
ak.to_list(ak.sum(array, axis=0))
def overload_argmax(array, mask):
return ak.argmax(array["rho"], axis=-1, mask_identity=False, highlevel=False)
behavior = {}
behavior[ak.argmax, "VectorArray2D"] = overload_argmax
array = ak.Array(
[
[
{"rho": -1.1, "phi": -0.1},
{"rho": 1.1, "phi": 0.1},
{"rho": -1.1, "phi": 0.3},
],
[
{"rho": 1.1, "phi": 0.1},
{"rho": -1.1, "phi": 0.3},
{"rho": -1.1, "phi": -0.1},
],
],
with_name="VectorArray2D",
behavior=behavior,
)
assert ak.to_list(ak.argmax(array, axis=1)) == [1, 0]
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